---
task_categories:
- text2text-generation
- sentence-similarity
language:
- fa
pretty_name: 'FarSSiM: A Farsi (Persian) Semantic Similarity Measurement Dataset'
size_categories:
- 1K<n<10K
---
# FarSSiM: Persian Sentence Similarity Dataset

This repository hosts the Persian Sentence Similarity dataset, originally created and maintained by [Mojtaba Sajjadi](https://github.com/mojtabasajjadi) under the [FarSSiM repository](https://github.com/mojtabasajjadi/FarSSiM). All credits for the creation, curation, and publication of this dataset go to Mojtaba Sajjadi.

## Dataset Overview

FarSSiM is a high-quality Persian dataset focused on sentence similarity tasks. The dataset contains pairs of Persian sentences along with similarity scores, making it suitable for tasks such as:

- Semantic textual similarity (STS)
- Natural language inference (NLI)
- Paraphrase detection

This dataset can be a valuable resource for researchers and practitioners working on Persian NLP or multilingual NLP tasks.

### Dataset Structure

Each sample in the dataset consists of:

- `sentence1`: The first sentence in Persian.
- `sentence2`: The second sentence in Persian.
- `similarity_score`: A numeric score representing the similarity between the two sentences.

The similarity scores are typically normalized between 0 and 1, where 1 indicates high similarity and 0 indicates no similarity.

### File Structure

The dataset is provided in CSV format and includes the following columns:

| Column Name         | Description                                      |
|---------------------|--------------------------------------------------|
| `sentence1`         | The first Persian sentence.                     |
| `sentence2`         | The second Persian sentence.                    |
| `similarity_score`  | Similarity score between `sentence1` and `sentence2`. |

## Installation and Usage

This dataset is available on the Hugging Face Hub and can be loaded using the `datasets` library:

```python
from datasets import load_dataset

# Load the FarSSiM dataset
farssim = load_dataset("AlirezaF138/FarSSiM")

# Access the training split
print(farssim["train"][0])
```

## Citation

If you use this dataset in your research, please cite the original repository:

```bibtex
@misc{sajjadi2023farssim,
  author = {Mojtaba Sajjadi},
  title = {FarSSiM: Persian Sentence Similarity Dataset},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/mojtabasajjadi/FarSSiM}}
}
```

## License

Please refer to the [original repository](https://github.com/mojtabasajjadi/FarSSiM) for licensing information. Ensure compliance with the original license terms when using this dataset.

## Credits

This dataset was originally created and maintained by [Mojtaba Sajjadi](https://github.com/mojtabasajjadi). This repository simply rehosts the dataset for ease of access and integration into the Hugging Face ecosystem.